Data Engineer I
TD
AzureETLPySparkPython
Senior Manager, Data Engineering
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Anaheim • California, Florida • 🇺🇸 United States
Visit company websiteSalary
💰 $188,400 - $252,600 per year
Job Level
Senior
Tech Stack
AirflowBigQueryETL
About the role
- Work with partners from around Disney to understand business needs and translate those into high value capabilities and features
- Develop the strategy and roadmap for data products supporting Guest experiences
- Lead the team delivering against plans, including both highly technical and non-technical resources
- Build a strong culture of best practices and standards in data and engineering
- Act as the deep technical authority on delivery practices, able to speak to capabilities and processes to multiple levels of the organization
- Advance data collection strategies and onboarding processes enabling improved data capabilities while adhering to data privacy requirements
- Stay in the known on the product direction for applicable technologies to understand how shifts in the consumer privacy landscape alter the Guest data strategy
Requirements
- 10+ years related work experience in a Data Engineering field
- Advanced knowledge of Data Architecture, Data Warehousing, Advanced Analytics, and Data Science implementations
- Experience across Data Warehouse platforms such as Snowflake and BigQuery, with expert level knowledge in the Snowflake Platform
- Expertise with Data Lakehouse architectures and formats/standards, such as Parquet and Iceberg
- Experience designing automated, highly available ETL/ELT big data pipelines at scale
- Experience with data transformation and orchestration tools as well as DBT and AirFlow
- Knowledge of data quality practices and tooling such as Data Dog and Anomalo
- Familiarity with data security and privacy regulations
- Excellent verbal and written communication, compelling storytelling and presentation skills.
- A team player with vision, passion, discipline, and integrity
- Demonstrated inclusive and collaborative leadership that embraces diverse thought.
- Ability to develop geographically and otherwise diverse highly technical teams.
- Proven ability to successfully operate in a highly matrix organization where partnership and influence are key drivers of success.
- Ability to work rapidly and efficiently in a fast paced and changing environment.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data EngineeringData ArchitectureData WarehousingAdvanced AnalyticsData ScienceETLELTData TransformationData OrchestrationData Quality
Soft skills
CommunicationStorytellingPresentationTeam PlayerLeadershipCollaborationInclusivityVisionPassionIntegrity
